One of the computational models proposed to study emerging phenomena in decentralized
systems is the swarmalator model [Nat. Commun. 8, 1504 (2017) 2041-1723 …

Swarmalators are particles that exhibit coordinated motion and, at the same time,
synchronize their intrinsic behavior, represented by internal phases. Here, we study the …

Neurobiological theories of spatial cognition developed with respect to recording data from
relatively small and/or simplistic environments compared to animals' natural habitats. It has …

Collective phenomena fascinate by the emergence of order in systems composed of a
myriad of small entities. They are ubiquitous in nature and can be found over a vast range of …

Artificial intelligence has not achieved defining features of biological intelligence despite
models boasting more parameters than neurons in the human brain. In this perspective …

Dynamical systems models for controlling multi-agent swarms have demonstrated advances
toward resilient, decentralized navigation algorithms. We previously introduced the …

In partnership with the Air Force Office of Scientific Research (AFOSR), the National Science
Foundation's (NSF) Emerging Frontiers and Multidisciplinary Activities (EFMA) office of the …

In the NeuroSwarms framework, a team including researchers from the Johns Hopkins
University Applied Physics Laboratory (APL) and the Johns Hopkins University School of …

Method: Documents were collected from the Scopus site from 2002 to 2022, totaling 245
documents, which were then analyzed quantitatively with Biblioshiny and Vosviewer …

We consider a population of mobile agents able to make noisy observations of the
environment and communicate their observation by production and comprehension of …